Stochasticity and the limits to confidence when estimating \(\mathcal R_0\) of Ebola and other emerging infectious diseases

DOI10.1016/j.jtbi.2016.08.016zbMath1352.92171arXiv1601.06829OpenAlexW2271178597WikidataQ40092679 ScholiaQ40092679MaRDI QIDQ727139

Joshua S. Weitz, Jonathan Dushoff, Bradford P. Taylor

Publication date: 6 December 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1601.06829

zbMATH Keywords

confidence intervalsinfectious diseasesdemographic stochasticity

Mathematics Subject Classification ID

Epidemiology (92D30) Ordinary differential equations and systems with randomness (34F05)

Related Items (2)

Phenotype control techniques for Boolean gene regulatory networks ⋮ Forecasting epidemics through nonparametric estimation of time-dependent transmission rates using the SEIR model

Cites Work

• Time variations in the generation time of an infectious disease: implications for sampling to appropriately quantify transmission potential
• Estimating initial epidemic growth rates
• Contact intervals, survival analysis of epidemic data, and estimation of R0
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